Prosecution Insights
Last updated: April 19, 2026
Application No. 15/885,498

FEEDBACK SYSTEM AND METHOD FOR TREATMENT PLANNING

Non-Final OA §103
Filed
Jan 31, 2018
Examiner
HEFFINGTON, JOHN M
Art Unit
2145
Tech Center
2100 — Computer Architecture & Software
Assignee
Varian Medical Systems, Inc.
OA Round
9 (Non-Final)
40%
Grant Probability
Moderate
9-10
OA Rounds
5y 6m
To Grant
70%
With Interview

Examiner Intelligence

Grants 40% of resolved cases
40%
Career Allow Rate
172 granted / 429 resolved
-14.9% vs TC avg
Strong +30% interview lift
Without
With
+30.0%
Interview Lift
resolved cases with interview
Typical timeline
5y 6m
Avg Prosecution
42 currently pending
Career history
471
Total Applications
across all art units

Statute-Specific Performance

§101
10.2%
-29.8% vs TC avg
§103
64.1%
+24.1% vs TC avg
§102
16.1%
-23.9% vs TC avg
§112
6.4%
-33.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 429 resolved cases

Office Action

§103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . This action is in response to the Request for Continued Examination filed 10/15/2025. Claims 1, 23, 32-33 have been amended. Claims 10-12, 31, 35, 37-38 have been canceled. Claims 1-9, 13-30, 32-34, 36, 39 are pending and have been considered below. Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 10/15/2025 has been entered. Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. This application currently names joint inventors. In considering patentability of the claims the examiner presumes that the subject matter of the various claims was commonly owned as of the effective filing date of the claimed invention(s) absent any evidence to the contrary. Applicant is advised of the obligation under 37 CFR 1.56 to point out the inventor and effective filing dates of each claim that was not commonly owned as of the effective filing date of the later invention in order for the examiner to consider the applicability of 35 U.S.C. 102(b)(2)(C) for any potential 35 U.S.C. 102(a)(2) prior art against the later invention. Claim 1-9, 13-20,22-30, 32-34, 36, 39 is/are rejected under 35 U.S.C. 103 as being unpatentable over Anderson et al. (US 2004/0009459 A1) in view of Avila (US 2010/0063410 A1) and further in view of Cunningham et al. (US 2002/0163497 A1) and Altkorn et al. (US 2005/0093847 A1). Claim 1. Anderson discloses an apparatus for use in a medical process, comprising: a haptic device configured to provide mechanical feedback to a user, a model for simulating interactions between a medical device and a tissue while taking into account the biomechanical properties of a tissue as well as the physical properties of the medical device (P. 0009), the simulator also provides active haptic force and tactile feedback components (P. 0010); and at least one processor configured to cause the apparatus to identify tissue information in an image based on at least one of shapes or profiles of structures in the image, modeling interactions between a medical device and a tissue while taking into account the biomechanical properties of a tissue as well as the physical properties of the medical device and simulating the interaction of a medical device with a tissue or organ having heterogeneous biomechanical properties and/or simulating interactions between a medical device and a plurality of tissues having different biomechanical properties (P. 0009), the simulator also provides active haptic force and tactile feedback components (P. 0010) generating force and vibration variables for haptic interface control and realistic visualization made up of volumetric spatial data structure derived from medical images (P 0016), a treatment planning tool being utilized by the user to perform treatment planning, by simulating the various types of procedures, the invention also provides a novel solution to easily configure or customized the training or pretreatment planning environment to meet the needs of the user or trainer (P. 0010), for a non-invasive treatment that involves delivery of energy from outside a patient to reach a target inside the patient, the system models an operation of the medical device such as injection of a therapeutic agent, removal of a biological material, placement of an implant, transplant, or pacemaker, and/or exposing of one or more tissues to a therapeutic regimen including, but not limited to exposure of a tissue to heat, light, microwave, ultrasound, electroporation, exposure to an electric field, etc (P. 0098) obtain the tissue information based on a position [of the cursor], "a tissue with heterogeneous biomechanical properties" refers to a tissue comprising regions having different resistances against deformation by a medical device (P. 0073) a biomechanical model comprises a set of voxels, each voxel defined by biomechanical properties including, tissue type and tissue subtype, and biomechanical parameters for these tissue types/subtypes, wherein the biomechanical parameters simulate interactions between at least one tissue or organ and a medical device (P. 0114) and the biomechanical properties represent maximum load, compressive strength, elastic modulus and energy of the tissue (P. 0115) It is clear that the tissue information of the biomechanical model of Anderson, which includes resistances against deformation by a medical device, is dependent on the location within the model, obtain a movement-vs-intensity profile based on the tissue information, the movement-vs-intensity profile indicating a relationship between an intensity of sensory feedback and an amount of [cursor] movement caused by the user occurring over a period, and operate the haptic device based on the position [of the cursor], the tissue information, and the movement-vs-intensity profile to inform the user at least one of a type or a characteristic of tissue represented in the treatment planning tool while the treatment planning tool is being utilized by the user, the user advances the needle through various body tissues including skin, muscle, fat and bone to simulate vertebroplasty on the simulated bony structure (P. 0175) the medical device interaction with the tissue is modeled using a finite element model of the tissue (P. 0178) wherein stress-strain values are determined during medical device interaction (needle insertion) (P. 0181) to calculate forces acting at points (nodes) within the model (P. 0187) and a load vector of the medical device interaction (needle insertion) is dependent on the speed of the interaction (needle insertion) (P. 0196) The load vector is related to the resistance of the tissue and the deformation of the tissue with respect to the resistance as the medical device interacts with (needle is inserted into) the tissue, and the load vector (analogous to the claimed intensity) is dependent on both the position within the tissue and the speed of the interaction (insertion) of the medical device, this reads precisely on the limitation “the movement-vs-intensity profile relating [to] an amount of the user movement occurring over a period [of time] with the intensity”. Anderson does not disclose the tissue information indicating a type of tissue of a plurality of types of tissue, as disclosed in the claims. However, Anderson discloses generating a biomechanical model by dividing an image set into voxels, each voxel a unit of graphic information that defines a point in three-dimensional space, and defining biomechanical properties for each voxel, each property including tissue type (e.g., skin, fat, muscle, bone, etc); tissue subtype (e.g., dermis or epidermis for skin, compact and/or trabecular bone or cancellous bone for bone); and biomechanical parameters for these tissue types/subtypes, to simulate interactions between at least one tissue or organ and a medical device, e.g., to calculate deformation, amounts and duration of force feedback and other simulation-related data. (P 0114). That is, while Anderson discloses that the type of tissue represented in an image may be derived by analyzing each individual voxel in the image, Anderson does not explicitly disclose that the type of tissue associated with the structure itself on the whole in the image is identified. In the same field of invention, Avila discloses a computer-aided system comprising an image acquisition device for acquiring a plurality of image data sets and a processor adapted to classify selected tissue types within the image data sets based on a hierarchy of signal and anatomical models, and differentiate anatomical context of the classified tissue types for use in the diagnosis and detection of a selected disease, and an interface unit for presenting the classified tissue types within the image data sets and anatomical context of the classified tissue types for aiding an interpretation of the processed image data sets (P 0180). Therefore, considering the teachings of Anderson and Avila, one having ordinary skill in the art before the effective filing date of the invention would have been motivated to combine the tissue information indicating a type of tissue of a plurality of types of tissue with the teachings of Anderson with the motivation to aid the user in diagnosis and interpretation of processed image data sets representing anatomical models and contexts (Avila: P 0180). Anderson does not disclose determine a position of a cursor in response to [a treatment planning tool being utilized by the user to perform treatment planning for a non-invasive treatment that involves delivery of energy from outside a patient to reach a target inside the patient]; obtain the tissue information based on a position of the cursor, as disclosed in the claims. However, Anderson discloses the interface may provide haptic feedback and tracking mechanisms through an interface unit substituting for a medical device such as a joystick or a mouse for receiving haptic feedback (P. 0015). That is, Anderson discloses that a user may use a joystick or mouse but Anderson does not disclose that the joystick or mouse are used to control a cursor. In the same field of invention, Cunningham discloses correlating a manipulation of a joystick, mouse, stylus, or an instrumental glove, by a user with a position and rate of movement of a cursor (P. 0034) simulating a force acting on the cursor for variations in surface textures of different graphical objects when a cursor penetrates an object, resistance to the penetration can be simulated, and a kinesthetic force sensation, such as a modeled spring force, may be applied to the user whenever the cursor engages a simulation of deformable surface (P. 0036) to simulate contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (P. 0039) simulating a haptic sensation to be output to the user as a tactile cue when the cursor intersects a boundary of the graphical (biological) representation (P. 0041). Therefore, considering the teachings of Anderson, Avila and Cunningham, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine determine a position of a cursor in response to a treatment planning tool being utilized by the user to perform treatment planning for a non-invasive treatment that involves delivery of energy from outside a patient to reach a target inside the patient; obtain the tissue information based on a position of the cursor with the teachings of Anderson and Avila. One would have been motivated to combine determine a position of a cursor in response to a treatment planning tool being utilized by the user to perform treatment planning for a non-invasive treatment that involves delivery of energy from outside a patient to reach a target inside the patient; obtain the tissue information based on a position of the cursor with the teachings of Anderson and Avila in order to provide tool for effective training of palpitation procedures (Cunningham: P. 0003-0004) as contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (Cunningham: P. 0039). Anderson does not disclose the movement-vs-intensity profile indicating a relationship between an intensity of sensory feedback and an amount of cursor movement caused by the user occurring over a period; operate the haptic device based on the position of the cursor, as disclosed in the claims. However, in the same field of invention, Cunningham discloses the tactile forces output to the tactile mouse depend on a calculated velocity (P. 0086) and a texture can be performed by presenting a vibration to a user, the vibration being dependent upon the current velocity of the tactile mouse (P. 0098). Therefore, considering the teachings of Anderson, Avila and Cunningham, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine the movement-vs-intensity profile indicating a relationship between an intensity of sensory feedback and an amount of cursor movement caused by the user occurring over a period; operate the haptic device based on the position of the cursor with the teachings of Anderson, Avila and Cunningham. One would have been motivated to combine the movement-vs-intensity profile indicating a relationship between an intensity of sensory feedback and an amount of cursor movement caused by the user occurring over a period; operate the haptic device based on the position of the cursor with the teachings of Anderson, Avila and Cunningham in order to provide tool for effective training of palpitation procedures (Cunningham: P. 0003-0004) as contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (Cunningham: P. 0039). Anderson does not disclose the movement-vs-intensity profile including at least one single non-continuous profile, as disclosed in the claims. However, Cunningham discloses each of the profiles in Figures 13A – 13D represent single non-continuous haptic feedback profiles (P 0149 – 0150). In the same field of invention, Altkorn discloses , a virtual organ is represented by a mass-spring model, a finite element method, or deformable model (Paragraph 0064) including numeric values for elasticity and a spring-constant for a virtual passageway in the organ (Paragraph 0072), as a user moves a virtual object through a virtual passageway, the system detects a collision between the virtual object and the virtual passageway that causes a deformation of the virtual passageway, wherein the virtual object lodges at the junction between a first virtual passageway and a second virtual passageway because the first and second virtual passageways have different elasticities and different rigidities (Paragraph 0075) Cunningham clearly discloses single non-continuous haptic feedback profiles, and in Altkorn, a mass-spring constant is analogous to the claimed “positive slope” profile, the numeric elasticity value is analogous to the “single intensity value” profile and the junction between the first and second virtual passageways is analogous to the “non-continuous” profile. Therefore, considering the teachings of Anderson, Avila, Cunningham and Altkorn, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine the movement-vs-intensity profile including at least one single non-continuous profile with the teachings of Anderson, Avila and Cunningham. One would have been motivated to combine the movement-vs-intensity profile including at least one single non-continuous profile with the teachings of Anderson, Avila and Cunningham in order to more accurately model the tissue to be tested and give the user more control by allowing the user to select from a set of different profiles. Claim 2. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses a non- transitory medium storing the movement-vs-intensity profile for a respective type of tissue of the plurality of types of tissue, and one or more additional movement-vs-intensity profiles for other respective types of tissue of the plurality of types of tissue, the system implements a program provided in a computer readable medium (either as software or as part of an application embodied in the memory of a system processor) which comprises computer program code for identifying an interface in communication with a processor which is capable of simulating contact between a user and the medical device (P. 0105) The limitation “of the plurality of types of tissue” has been added to Anderson by Avila. Claim 3. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 2, and Anderson further discloses the sensory feedback comprises a force resistance or a vibration, the interface comprises a mechanism for simulating resistance against insertion and/or movement of the medical device (P. 0027). Claim 4. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses the plurality of types of tissue comprise two or more of bladder, spine, liver, kidney, cochlea, target, or critical organ, displaying an image of at least one tissue or organ, the image comprises a plurality of tissues, the image displayed includes an image of trabecular or cancellous bone of the spine (P. 0029). Claim 5. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses the haptic device is configured to provide force resistance as the mechanical feedback, the interface comprises a mechanism for simulating resistance against insertion and/or movement of the medical device (P. 0027). Claim 6. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 5, and Anderson further discloses the at least one processor is further to cause the haptic device to vary an intensity of the force resistance is variable in correspondence with the tissue information, a mechanism for simulating resistance against movement of the medical device, the resistance varies according to the simulated placement of the medical device in a given tissue type (P. 0027). Claim 7. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses the haptic device is configured to provide vibration as the mechanical feedback, the physical based model of patient body used to generate the variables (force and slight vibration) necessary for haptic interface control and realistic visualization made up of volumetric spatial data structure derived from medical images of patient, and hence, patient specific (P. 0016). Claim 8. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 7, and Anderson further discloses the at least one processor is further configured to cause the haptic device to vary an intensity of the vibration is variable in correspondence with the tissue information, the physical based model of patient body used to generate the variables (force and slight vibration) necessary for haptic interface control and realistic visualization made up of volumetric spatial data structure derived from medical images of patient, and hence, patient specific (P. 0016), a mechanism for simulating resistance against movement of the medical device, the resistance varies according to the simulated placement of the medical device in a given tissue type (P. 0027). Claim 9. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses the tissue information comprises at least one of a type of tissue, a position of the tissue, clinical information about the tissue, or a radiological property of the tissue, a mechanism for simulating resistance against movement of the medical device, the resistance varies according to the simulated placement of the medical device in a given tissue type (P. 0027). Claims 10-12. (Canceled). Claim 13. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses the at least one processor is further configured to cause the apparatus to provide the feedback for assisting the user in performing structure contouring, a user of the system performs image processing tasks on a plurality of scanned images to create geometrical structures and a topology which corresponds to the contours of a body cavity or lumen belonging to a patient being analyzed, to generate a volume-image, a stack of two-dimensional (2D) images is collected by a scanning device in an axial direction and is used to form a three-dimensional (3D) structure, using a medical scanner (P. 0109). Claim 14. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, Anderson further discloses the at least one processor is further configured cause the apparatus to provide the feedback for assisting the user in performing dose painting, the system further simulates the biological impact of delivery of one or more agents on one or more tissues of the body and/or of the effects of a therapeutic regimen (e.g., such as a regimen employing heat, light, microwave, ultrasound, electroporation, exposure to an electric field, photodynamic therapy, microwaves, x-ray therapy, and heat, etc.) (Paragraph 0012), the system provides a medical device interface with insertion points for receiving a medical device such as a needle (e.g., such as used for a vertebroplasty procedure, an orthoscopic procedure, biopsy procedure, delivery of a therapeutic agent, etc.) (Paragraph 0013). Claim 15. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses a wearable device with a screen, the screen being communicatively coupled to the at least one processor, a 3D virtual patient is modeled and data relating to the patient stored in the computer and is visible to the user through the optical stereo glasses (Paragraph 0159). Claim 16. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 15, and Anderson further discloses an orientation sensor coupled to the wearable device, wherein at least one processor is further configured to cause the apparatus to vary an object displayed on the screen based on an input from the orientation sensor, the system includes tracking software that provides for continuous tracking of the medical device as it moves and/or interacts with the interface, enabling the system to model and display the changing interactions of the device with one or more tissues of the patient's body on the graphical interface (P. 0013), in this dual monitor system, one monitor is dedicated to simulate fluoroscopic image at user-defined angle of projection. The other is used to show other auxiliary views such as three-dimensional model of the operating region, cross-sectional planar view and/or roadmaps; tracking devices can be developed from commercially available phantom, robot arm or other 3D locating devices (Paragraph 0159). Claim 17. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 15, and Anderson further discloses a positioning device coupled to the wearable device, wherein the at least one processor is further configured to cause the apparatus to vary an object displayed on the screen based on an input from the positioning device, the system includes tracking software that provides for continuous tracking of the medical device as it moves and/or interacts with the interface, enabling the system to model and display the changing interactions of the device with one or more tissues of the patient's body on the graphical interface (P. 0013), the interface includes a tracking mechanism that can receive and/or transmit signals relating to the position and/or interactions of the medical device with the interface. These interactions simulate interactions that might occur during the procedure, by providing haptic feedback as the same interactions are modeled on a graphical user interface of the system (Paragraph 0013), the interface alternatively may comprise a unit substituting for a medical device (e.g., such as a joystick, mouse, or other instruments) for receiving haptic feedback from the system (Paragraph 0015). Claim 18. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 15, and Anderson further discloses the wearable device comprises a virtual-reality device, a 3D virtual patient is modeled and data relating to the patient stored in the computer and is visible to the user through the optical stereo glasses (Paragraph 0159). Claim 19. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 15, and Anderson further discloses the screen comprises a transparent screen for allowing the user to see surrounding space, in this dual monitor system, one monitor is dedicated to simulate fluoroscopic image at user-defined angle of projection. The other is used to show other auxiliary views such as three-dimensional model of the operating region, cross-sectional planar view and/or roadmaps; tracking devices can be developed from commercially available phantom, robot arm or other 3D locating devices (Paragraph 0159) The user in Figure 10 is looking at the monitor screens. Claim 20. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses a device with a screen, the screen being communicatively coupled to the at least one processor, a 3D virtual patient is modeled and data relating to the patient stored in the computer and is visible to the user through the optical stereo glasses; in this dual monitor system, one monitor is dedicated to simulate fluoroscopic image at user-defined angle of projection and the other is used to show other auxiliary views such as three-dimensional model of the operating region, cross-sectional planar view and/or roadmaps, the tracking devices can be developed from commercially available phantom, robot arm or other 3D locating devices (P. 0159, Fig. 10). Claim 22. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 20, and Anderson further discloses the at least one processor is further configured to cause the screen to display an object, and to vary a configuration of the object in correspondence with a viewing direction of the user, a 3D virtual patient is modeled and data relating to the patient stored in the computer and is visible to the user through the optical stereo glasses; in this dual monitor system, one monitor is dedicated to simulate fluoroscopic image at user-defined angle of projection and the other is used to show other auxiliary views such as three-dimensional model of the operating region, cross-sectional planar view and/or roadmaps, the tracking devices can be developed from commercially available phantom, robot arm or other 3D locating devices (P. 0159, Fig. 10). Claim 23. Anderson discloses an apparatus for use in a medical process, comprising: a feedback device configured to provide visual feedback to a user, a model for simulating interactions between a medical device and a tissue while taking into account the biomechanical properties of a tissue as well as the physical properties of the medical device (P. 0009), the simulator also provides active haptic force and tactile feedback components (P. 0010); and at least one processor communicatively coupled to the feedback device, the at least one processor configured to cause the apparatus to identify tissue information in an image based on at least one of shapes or profiles of structures in the image, modeling interactions between a medical device and a tissue while taking into account the biomechanical properties of a tissue as well as the physical properties of the medical device and simulating the interaction of a medical device with a tissue or organ having heterogeneous biomechanical properties and/or simulating interactions between a medical device and a plurality of tissues having different biomechanical properties (P. 0009), the simulator also provides active haptic force and tactile feedback components (P. 0010) generating force and vibration variables for haptic interface control and realistic visualization made up of volumetric spatial data structure derived from medical images (P 0016), obtain the tissue information based on the position of the [cursor], "a tissue with heterogeneous biomechanical properties" refers to a tissue comprising regions having different resistances against deformation by a medical device (P. 0073) a biomechanical model comprises a set of voxels, each voxel defined by biomechanical properties including, tissue type and tissue subtype, and biomechanical parameters for these tissue types/subtypes, wherein the biomechanical parameters simulate interactions between at least one tissue or organ and a medical device (P. 0114) and the biomechanical properties represent maximum load, compressive strength, elastic modulus and energy of the tissue (P. 0115) It is clear that the tissue information of the biomechanical model of Anderson, which includes resistances against deformation by a medical device, is dependent on the location within the model, and change a behavior of the user control based on the [position of the cursor], the obtained tissue information, the simulation system provides a force feedback mechanism that is directional, i.e., the user can reverse or change the directionality or rate/force of motion when the haptic interface component senses an obstruction or impingement to the forward movement of an inserted device (P 0014) the interface may provide haptic feedback and tracking mechanisms through an interface unit substituting for a medical device such as a joystick or a mouse for receiving haptic feedback (P. 0015) the system models both biomechanical properties of tissue(s)/organ(s) and physical properties of the medical device being simulated so that interactions between the medical device and tissue(s)/organ(s) reflects changes that may occur in the tissue(s)/organ(s) (e.g., deformation, ablation or removal of cells, fluid flow, etc) as well as changes that may occur in the medical device (e.g., bending, movement of one or more portions of the device, deformation, etc.) (P. 0097) It is clear that the tissue information of the biomechanical model of Anderson, which includes resistances against deformation by a medical device, is dependent on the location within the model, and a … profile that relates an amount of [cursor] movement caused by the user control occurring over a period with intensity, to inform the user at least one of a type or a characteristic of tissue represented in a treatment planning tool while the treatment planning tool is being utilized by the user to perform treatment planning, the system models both biomechanical properties of tissue(s)/organ(s) and physical properties of the medical device being simulated so that interactions between the medical device and tissue(s)/organ(s) reflects changes that may occur in the tissue(s)/organ(s) (e.g., deformation, ablation or removal of cells, fluid flow, etc) as well as changes that may occur in the medical device (e.g., bending, movement of one or more portions of the device, deformation, etc.) (P. 0097) a load vector of the medical device interaction (needle insertion) is dependent on the speed of the interaction (needle insertion) (P. 0196) for a non- invasive treatment that involves delivery of energy from outside a patient to reach a target inside the patient, the system models an operation of the medical device such as injection of a therapeutic agent, removal of a biological material, placement of an implant, transplant, or pacemaker, and/or exposing of one or more tissues to a therapeutic regimen including, but not limited to exposure of a tissue to heat, light, microwave, ultrasound, electroporation, exposure to an electric field, etc (P. 0098); change the behavior of the user control by changing an amount of movement of [the cursor] per unit of user movement on the user control, surface deformation of the hard and soft tissues is computed using finite element method assuming physical constraints due to friction and gravity (P. 0016), the system uses knowledge-based systems to relate image variables and to make recommendations on the trajectory and deformation of the medical devices utilized based on the physical and biological target treatment tissue properties (P. 0017) the system simulates deformation of a tissue as a needle is inserted and/or movement of an organ as a medical device is pushed against or inserted into the organ or a neighboring tissue (P. 0025), a mechanism for simulating resistance against movement of the medical device, the resistance varies according to the simulated placement of the medical device in a given tissue type (P. 0027). Anderson does not disclose the tissue information indicating a type of tissue of a plurality of types of tissue, as disclosed in the claims. However, Anderson discloses generating a biomechanical model by dividing an image set into voxels, each voxel a unit of graphic information that defines a point in three-dimensional space, and defining biomechanical properties for each voxel, each property including tissue type (e.g., skin, fat, muscle, bone, etc); tissue subtype (e.g., dermis or epidermis for skin, compact and/or trabecular bone or cancellous bone for bone); and biomechanical parameters for these tissue types/subtypes, to simulate interactions between at least one tissue or organ and a medical device, e.g., to calculate deformation, amounts and duration of force feedback and other simulation-related data. (P 0114). That is, while Anderson discloses that the type of tissue represented in an image may be derived by analyzing each individual voxel in the image, Anderson does not explicitly disclose that the type of tissue associated with the structure itself on the whole in the image is identified. In the same field of invention, Avila discloses a computer-aided system comprising an image acquisition device for acquiring a plurality of image data sets and a processor adapted to classify selected tissue types within the image data sets based on a hierarchy of signal and anatomical models, and differentiate anatomical context of the classified tissue types for use in the diagnosis and detection of a selected disease, and an interface unit for presenting the classified tissue types within the image data sets and anatomical context of the classified tissue types for aiding an interpretation of the processed image data sets (P 0180). Therefore, considering the teachings of Anderson and Avila, one having ordinary skill in the art before the effective filing date of the invention would have been motivated to combine the tissue information indicating a type of tissue of a plurality of types of tissue with the teachings of Anderson with the motivation to aid the user in diagnosis and interpretation of processed image data sets representing anatomical models and contexts (Avila: P 0180). Anderson does not disclose determine a position of the cursor based on operation of a user control, obtain the tissue information based on the position of the cursor; change a behavior of the user control based on the position of the cursor, as disclosed in the claims. However, Anderson discloses the interface may provide haptic feedback and tracking mechanisms through an interface unit substituting for a medical device such as a joystick or a mouse for receiving haptic feedback (P. 0015). That is, Anderson discloses that a user may use a joystick or mouse but Anderson does not disclose that the joystick or mouse are used to control a cursor. In the same field of invention, Cunningham discloses correlating a manipulation of a joystick, mouse, stylus, or an instrumental glove, by a user with a position and rate of movement of a cursor (P. 0034) simulating a force acting on the cursor for variations in surface textures of different graphical objects when a cursor penetrates an object, resistance to the penetration can be simulated, and a kinesthetic force sensation, such as a modeled spring force, may be applied to the user whenever the cursor engages a simulation of deformable surface (P. 0036) to simulate contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (P. 0039) simulating a haptic sensation to be output to the user as a tactile cue when the cursor intersects a boundary of the graphical (biological) representation (P. 0041). Therefore, considering the teachings of Anderson, Avila and Cunningham, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine determine a position of the cursor based on operation of a user control, obtain the tissue information based on the position of the cursor; change a behavior of the user control based on the position of the cursor with the teachings of Anderson and Avila. One would have been motivated to combine determine a position of the cursor based on operation of a user control, obtain the tissue information based on the position of the cursor; change a behavior of the user control based on the position of the cursor with the teachings of Anderson and Avila in order to provide tool for effective training of palpitation procedures (Cunningham: P. 0003-0004) as contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (Cunningham: P. 0039). Anderson does not disclose a profile that relates an amount of cursor movement …; change the behavior of the user control by changing an amount of movement of the cursor, as disclosed in the claims. However, Anderson discloses a load vector of the medical device interaction (needle insertion) is dependent on the speed of the interaction (needle insertion) (P. 0196) and Cunningham discloses the tactile forces output to the tactile mouse depend on a calculated velocity (P. 0086) and a texture can be performed by presenting a vibration to a user, the vibration being dependent upon the current velocity of the tactile mouse (P. 0098). Therefore, considering the teachings of Anderson, Avila and Cunningham, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine a profile that relates an amount of cursor movement …; change the behavior of the user control by changing an amount of movement of the cursor with the teachings of Anderson, Avila and Cunningham. One would have been motivated to combine a profile that relates an amount of cursor movement …; change the behavior of the user control by changing an amount of movement of the cursor with the teachings of Anderson, Avila and Cunningham in order to provide tool for effective training of palpitation procedures (Cunningham: P. 0003-0004) as contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (Cunningham: P. 0039). Anderson does not disclose a movement-vs-intensity profile; wherein the movement-vs-intensity profile includes at least one single non-continuous profile, as disclosed in the claims. However, Cunningham discloses each of the profiles in Figures 13A – 13D represent single non-continuous haptic feedback profiles (P 0149 – 0150). In the same field of invention, Altkorn discloses , a virtual organ is represented by a mass-spring model, a finite element method, or deformable model (Paragraph 0064) including numeric values for elasticity and a spring-constant for a virtual passageway in the organ (Paragraph 0072), as a user moves a virtual object through a virtual passageway, the system detects a collision between the virtual object and the virtual passageway that causes a deformation of the virtual passageway, wherein the virtual object lodges at the junction between a first virtual passageway and a second virtual passageway because the first and second virtual passageways have different elasticities and different rigidities (Paragraph 0075) Cunningham clearly discloses single non-continuous haptic feedback profiles, and in Altkorn, a mass-spring constant is analogous to the claimed “positive slope” profile, the numeric elasticity value is analogous to the “single intensity value” profile and the junction between the first and second virtual passageways is analogous to the “non-continuous” profile. Therefore, considering the teachings of Anderson, Avila, Cunningham and Altkorn, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine a movement-vs-intensity profile; wherein the movement-vs-intensity profile includes at least one single non-continuous profile with the teachings of Anderson, Avila and Cunningham. One would have been motivated to combine a movement-vs-intensity profile; wherein the movement-vs-intensity profile includes at least one single non-continuous profile with the teachings of Anderson, Avila and Cunningham in order to more accurately model the tissue to be tested and give the user more control by allowing the user to select from a set of different profiles. Claim 24. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 23, and Anderson further discloses the feedback device comprises a screen, the system displays images of tissues having different biomechanical properties and models the interactions of one or more medical devices with the different tissues (P. 0097). Claim(s) 25-30 disclose apparatus claim(s) similar to the apparatus claim(s) of Claim(s) 2, 3, 4, 9, 13, 14 and is/are rejected with the same rationale. Claim 31. (Canceled). Claim(s) 32 disclose(s) method (for treatment planning) claim(s) similar to the apparatus claim(s) of Claim(s) 1 and is/are rejected with the same rationale. Claim 33. Anderson discloses a method for treatment planning, comprising: identifying, by at least one processor, tissue information in an image based on at least one of shapes or profiles, modeling interactions between a medical device and a tissue while taking into account the biomechanical properties of a tissue as well as the physical properties of the medical device and simulating the interaction of a medical device with a tissue or organ having heterogeneous biomechanical properties and/or simulating interactions between a medical device and a plurality of tissues having different biomechanical properties (P. 0009), the simulator also provides active haptic force and tactile feedback components (P. 0010) generating force and vibration variables for haptic interface control and realistic visualization made up of volumetric spatial data structure derived from medical images (P 0016); receiving an input from a user control for moving [a cursor] displayed in a screen, tracking software that provides for continuous tracking of the medical device as it moves and/or interacts with the interface, enabling the system to model and display the changing interactions of the device with one or more tissues of the patient's body on the graphical interface (P. 0013), the interface may provide haptic feedback and tracking mechanisms through an interface unit substituting for a medical device such as a joystick or a mouse for receiving haptic feedback (P. 0015) a mechanism for simulating resistance against movement of the medical device, the resistance varies according to the simulated placement of the medical device in a given tissue type (P. 0027); obtaining a position of [the cursor], modeling interactions between a medical device and a tissue while taking into account the biomechanical properties of a tissue as well as the physical properties of the medical device and simulating the interaction of a medical device with a tissue or organ having heterogeneous biomechanical properties and/or simulating interactions between a medical device and a plurality of tissues having different biomechanical properties (P. 0009) the interface may provide haptic feedback and tracking mechanisms through an interface unit substituting for a medical device such as a joystick or a mouse for receiving haptic feedback (P. 0015); obtaining the tissue information by the at least one processor, based on the position [of the cursor], "a tissue with heterogeneous biomechanical properties" refers to a tissue comprising regions having different resistances against deformation by a medical device (P. 0073) a biomechanical model comprises a set of voxels, each voxel defined by biomechanical properties including, tissue type and tissue subtype, and biomechanical parameters for these tissue types/subtypes, wherein the biomechanical parameters simulate interactions between at least one tissue or organ and a medical device (P. 0114) and the biomechanical properties represent maximum load, compressive strength, elastic modulus and energy of the tissue (P. 0115) the user advances the needle through various body tissues including skin, muscle, fat and bone and then performs a simulated vertebroplasty on the simulated bony structure (P. 0175) It is clear that the tissue information of the biomechanical model of Anderson, which includes resistances against deformation by a medical device, is dependent on the location within the model and changing a behavior of the user control based on the position [of the cursor], the obtained tissue information, and a profile that relates an amount of [cursor movement] caused by the user occurring over a period with intensity to inform a user at least one of a type or a characteristic of tissue represented in a treatment planning tool while the treatment planning tool is being utilized by the user to perform treatment planning, the simulation system provides a force feedback mechanism that is directional, i.e., the user can reverse or change the directionality or rate/force of motion when the haptic interface component senses an obstruction or impingement to the forward movement of an inserted device (P 0014) the interface may provide haptic feedback and tracking mechanisms through an interface unit substituting for a medical device such as a joystick or a mouse for receiving haptic feedback (P. 0015) the system models both biomechanical properties of tissue(s)/organ(s) and physical properties of the medical device being simulated so that interactions between the medical device and tissue(s)/organ(s) reflects changes that may occur in the tissue(s)/organ(s) (e.g., deformation, ablation or removal of cells, fluid flow, etc) as well as changes that may occur in the medical device (e.g., bending, movement of one or more portions of the device, deformation, etc.) (P. 0097) It is clear that the tissue information of the biomechanical model of Anderson, which includes resistances against deformation by a medical device, is dependent on the location within the model for a non-invasive treatment that involves delivery of energy from outside a patient to reach a target inside the patient, the system models an operation of the medical device such as injection of a therapeutic agent, removal of a biological material, placement of an implant, transplant, or pacemaker, and/or exposing of one or more tissues to a therapeutic regimen including, but not limited to exposure of a tissue to heat, light, microwave, ultrasound, electroporation, exposure to an electric field, etc (P. 0098); wherein the behavior of the user control is changed by changing an amount of movement of the displayed [cursor] per unit of user movement on the user control, surface deformation of the hard and soft tissues is computed using finite element method assuming physical constraints due to friction and gravity (P. 0016), the system uses knowledge-based systems to relate image variables and to make recommendations on the trajectory and deformation of the medical devices utilized based on the physical and biological target treatment tissue properties (P. 0017) the system simulates deformation of a tissue as a needle is inserted and/or movement of an organ as a medical device is pushed against or inserted into the organ or a neighboring tissue (P. 0025), a mechanism for simulating resistance against movement of the medical device, the resistance varies according to the simulated placement of the medical device in a given tissue type (P. 0027). Anderson does not disclose the tissue information indicating a type of tissue of a plurality of types of tissue, as disclosed in the claims. However, Anderson discloses generating a biomechanical model by dividing an image set into voxels, each voxel a unit of graphic information that defines a point in three-dimensional space, and defining biomechanical properties for each voxel, each property including tissue type (e.g., skin, fat, muscle, bone, etc); tissue subtype (e.g., dermis or epidermis for skin, compact and/or trabecular bone or cancellous bone for bone); and biomechanical parameters for these tissue types/subtypes, to simulate interactions between at least one tissue or organ and a medical device, e.g., to calculate deformation, amounts and duration of force feedback and other simulation-related data. (P 0114). That is, while Anderson discloses that the type of tissue represented in an image may be derived by analyzing each individual voxel in the image, Anderson does not explicitly disclose that the type of tissue associated with the structure itself on the whole in the image is identified. In the same field of invention, Avila discloses a computer-aided system comprising an image acquisition device for acquiring a plurality of image data sets and a processor adapted to classify selected tissue types within the image data sets based on a hierarchy of signal and anatomical models, and differentiate anatomical context of the classified tissue types for use in the diagnosis and detection of a selected disease, and an interface unit for presenting the classified tissue types within the image data sets and anatomical context of the classified tissue types for aiding an interpretation of the processed image data sets (P 0180). Therefore, considering the teachings of Anderson and Avila, one having ordinary skill in the art before the effective filing date of the invention would have been motivated to combine the tissue information indicating a type of tissue of a plurality of types of tissue with the teachings of Anderson with the motivation to aid the user in diagnosis and interpretation of processed image data sets representing anatomical models and contexts (Avila: P 0180). Anderson does not disclose receiving an input from a user control for moving a cursor displayed in a screen; obtaining a position of the cursor; obtaining the tissue information … based on the position of the cursor, as disclosed in the claims. However, Anderson discloses the interface may provide haptic feedback and tracking mechanisms through an interface unit substituting for a medical device such as a joystick or a mouse for receiving haptic feedback (P. 0015). That is, Anderson discloses that a user may use a joystick or mouse but Anderson does not disclose that the joystick or mouse are used to control a cursor. In the same field of invention, Cunningham discloses correlating a manipulation of a joystick, mouse, stylus, or an instrumental glove, by a user with a position and rate of movement of a cursor (P. 0034) simulating a force acting on the cursor for variations in surface textures of different graphical objects when a cursor penetrates an object, resistance to the penetration can be simulated, and a kinesthetic force sensation, such as a modeled spring force, may be applied to the user whenever the cursor engages a simulation of deformable surface (P. 0036) to simulate contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (P. 0039) simulating a haptic sensation to be output to the user as a tactile cue when the cursor intersects a boundary of the graphical (biological) representation (P. 0041). Therefore, considering the teachings of Anderson, Avila and Cunningham, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine receiving an input from a user control for moving a cursor displayed in a screen; obtaining a position of the cursor; obtaining the tissue information … based on the position of the cursor with the teachings of Anderson and Avila. One would have been motivated to combine receiving an input from a user control for moving a cursor displayed in a screen; obtaining a position of the cursor; obtaining the tissue information … based on the position of the cursor with the teachings of Anderson and Avila in order to provide tool for effective training of palpitation procedures (Cunningham: P. 0003-0004) as contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (Cunningham: P. 0039). Anderson does not disclose changing a behavior of the user control based on the position of the cursor, … and a profile that relates an amount of cursor movement caused by the user occurring over a period with intensity; wherein the behavior of the user control is changed by changing an amount of movement of the displayed cursor per unit of user movement, as disclosed in the claims. However Anderson discloses a load vector of the medical device interaction (needle insertion) is dependent on the speed of the interaction (needle insertion) (P. 0196) and Cunningham discloses the tactile forces output to the tactile mouse depend on a calculated velocity (P. 0086) and a texture can be performed by presenting a vibration to a user, the vibration being dependent upon the current velocity of the tactile mouse (P. 0098). Therefore, considering the teachings of Anderson, Avila and Cunningham, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine changing a behavior of the user control based on the position of the cursor, … and a profile that relates an amount of cursor movement caused by the user occurring over a period with intensity; wherein the behavior of the user control is changed by changing an amount of movement of the displayed cursor per unit of user movement with the teachings of Anderson, Avila and Cunningham. One would have been motivated to combine changing a behavior of the user control based on the position of the cursor, … and a profile that relates an amount of cursor movement caused by the user occurring over a period with intensity; wherein the behavior of the user control is changed by changing an amount of movement of the displayed cursor per unit of user movement with the teachings of Anderson, Avila and Cunningham in order to provide tool for effective training of palpitation procedures (Cunningham: P. 0003-0004) as contact by a medical practitioner on a patient’s body to locate and/or evaluate exterior or interior anatomical features or masses in or on the patient's body by feeling for organs or other tissues, cellular masses, abnormalities, vascular conditions, bone conditions, vibrations of the chest, etc (Cunningham: P. 0039). Anderson does not disclose a movement-vs-intensity profile; wherein the movement-vs-intensity profile includes at least one single non-continuous profile, as disclosed in the claims. However, Cunningham discloses each of the profiles in Figures 13A – 13D represent single non-continuous haptic feedback profiles (P 0149 – 0150). In the same field of invention, Altkorn discloses , a virtual organ is represented by a mass-spring model, a finite element method, or deformable model (Paragraph 0064) including numeric values for elasticity and a spring-constant for a virtual passageway in the organ (Paragraph 0072), as a user moves a virtual object through a virtual passageway, the system detects a collision between the virtual object and the virtual passageway that causes a deformation of the virtual passageway, wherein the virtual object lodges at the junction between a first virtual passageway and a second virtual passageway because the first and second virtual passageways have different elasticities and different rigidities (Paragraph 0075) Cunningham clearly discloses single non-continuous haptic feedback profiles, and in Altkorn, a mass-spring constant is analogous to the claimed “positive slope” profile, the numeric elasticity value is analogous to the “single intensity value” profile and the junction between the first and second virtual passageways is analogous to the “non-continuous” profile. Therefore, considering the teachings of Anderson, Avila, Cunningham and Altkorn, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine a movement-vs-intensity profile; wherein the movement-vs-intensity profile includes at least one single non-continuous profile with the teachings of Anderson, Avila and Cunningham. One would have been motivated to combine a movement-vs-intensity profile; wherein the movement-vs-intensity profile includes at least one single non-continuous profile with the teachings of Anderson, Avila and Cunningham in order to more accurately model the tissue to be tested and give the user more control by allowing the user to select from a set of different profiles. Claim 34. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, but Cunningham does not disclose the movement-vs- intensity profile comprises a continuous profile, and wherein the continuous profile comprises one or more rectilinear segments, as disclosed in the claims. However, Altkorn discloses, a virtual organ is represented by a mass-spring model, a finite element method, or deformable model (Paragraph 0064) including numeric values for elasticity and a spring-constant for a virtual passageway in the organ (Paragraph 0072), as a user moves a virtual object through a virtual passageway, the system detects a collision between the virtual object and the virtual passageway that causes a deformation of the virtual passageway, wherein the virtual object lodges at the junction between a first virtual passageway and a second virtual passageway because the first and second virtual passageways have different elasticities and different rigidities (Paragraph 0075) A mass-spring constant is analogous to the claimed “positive slope” profile, the numeric elasticity value is analogous to the “single intensity value” profile and the junction between the first and second virtual passageways is analogous to the “non-continuous” profile. Therefore, considering the teachings of Anderson, Avila, Cunningham and Altkorn, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine the movement-vs- intensity profile comprises a continuous profile, and wherein the continuous profile comprises one or more rectilinear segments with the teachings of Anderson, Avila, Cunningham and Altkorn. One would have been motivated to combine the movement-vs- intensity profile comprises a continuous profile, and wherein the continuous profile comprises one or more rectilinear segments with the teachings of Anderson, Avila, Cunningham and Altkorn in order to more accurately model the tissue to be tested and give the user more control by allowing the user to select from a set of different profiles. Claim 35. Canceled. Claim 36. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, but Cunningham does not disclose the movement-vs- intensity profile comprises only a single intensity value, as disclosed in the claims. However, Altkorn discloses , a virtual organ is represented by a mass-spring model, a finite element method, or deformable model (Paragraph 0064) including numeric values for elasticity and a spring-constant for a virtual passageway in the organ (Paragraph 0072), as a user moves a virtual object through a virtual passageway, the system detects a collision between the virtual object and the virtual passageway that causes a deformation of the virtual passageway, wherein the virtual object lodges at the junction between a first virtual passageway and a second virtual passageway because the first and second virtual passageways have different elasticities and different rigidities (Paragraph 0075) A mass-spring constant is analogous to the claimed “positive slope” profile, the numeric elasticity value is analogous to the “single intensity value” profile and the junction between the first and second virtual passageways is analogous to the “non-continuous” profile. Therefore, considering the teachings of Anderson, Avila, Cunningham and Altkorn, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine the movement-vs- intensity profile comprises only a single intensity value with the teachings of Anderson, Avila, Cunningham and Altkorn. One would have been motivated to combine the movement-vs- intensity profile comprises only a single intensity value with the teachings of Anderson, Avila, Cunningham and Altkorn in order to more accurately model the tissue to be tested and give the user more control by allowing the user to select from a set of different profiles. Claim 37. Canceled. Claim 38. Canceled. Claim 39. Anderson, Avila, Cunningham and Altkorn disclose the apparatus of claim 1, and Anderson further discloses wherein the amount of the user movement occurring over the period constitutes a movement-rate, a load vector of the medical device interaction (needle insertion) is dependent on the speed of the interaction (needle insertion) (P. 0196) The load vector is related to the deformation of the tissue as the medical device interacts with (needle is inserted into) the tissue, and the load vector is dependent on the speed (movement rate) of the interaction (insertion) of the medical device, this reads precisely on the limitation “the amount of the user movement occurring over the period constitutes a movement-rate”. Claim(s) 21 is/are rejected under 35 U.S.C. 103 as being unpatentable over Anderson et al. (US 2004/0009459 A1) in view of Avila (US 2010/0063410 A1) and Cunningham et al. (US 2002/0163497 A1) and Altkorn et al. (US 2005/0093847 A1) and further in view of Manigoff et al. (US 2015/0374347 A1). Claim 21. Anderson, Avila, Cunningham, and Altkorn disclose the apparatus of claim 20, but Anderson does not disclose the screen is a part of a handheld device, as disclosed in the claims. However, in the same field of invention, Manigoff discloses an ultrasound sub-system is a hand held scanner with a display housed in the same housing (P. 0024). Therefore, considering the teachings of Anderson, Avila, Cunningham, Altkorn and Manigoff, it would have been obvious to one having ordinary skill in the art before the effective filing date of the invention to combine the screen is a part of a handheld device with the teachings of Anderson, Avila, Cunningham and Altkorn. One would have been motivated to combine the screen is a part of a handheld device with the teachings of Anderson, Avila, Cunningham and Altkorn in order to allow Anderson to be more flexible and versatile by allowing a user to be mobile and provide a more convenient system for the user to view the data. Response to Arguments Applicant's arguments filed 10/15/2025 have been fully considered but they are not persuasive. The applicant argues: On page 40 of the Office Action, the Examiner asserts that "the junction between the first and second virtual passageways is analogous to the 'non-continuous' profile." Here, the Examiner appears to be referring to a case in which a user causes a movement of a virtual object VO to move between two virtual passageways VP1 and VP2. The Examiner appears to assert that changing from a first continuous (e.g., allegedly correspond with a spring-constant property) profile of a first virtual passageway VP1 to a second continuous profile of a second virtual passageway VP2 is tantamount to a non- continuous profile. However, this is merely two separate continuous profiles, and not a single non-continuous movement-vs-intensity profile. Additionally, on page 12 of the Decision, the Board asserts that two continuous profiles of Altkorn can be interpreted to disclose the "non-continuous profile" because "the indefinite article 'an,' when used to introduce a feature in an open-ended claim with the transitional phrase comprising, usually carries the meaning one or more." However, amended independent claim 1 now requires the movement-vs-intensity profile includes at least one single non-continuous profile. For at least the reasons discussed above, the two separate continuous profiles taught by Altkorn are not tantamount to a single non-continuous profile as required by amended independent claim 1. Therefore, Applicants assert that Altkon fails to disclose, "the movement-vs- intensity profile including at least one single non-continuous profile," as required by amended independent claim 1. Accordingly, Applicants request the Examiner to reconsider and withdraw the above rejection of independent claims 1, 23, 32, and 33 and the claims depending therefrom. The examiner respectfully disagrees. Cunningham discloses each of the profiles in Figures 13A – 13D represent single non-continuous haptic feedback profiles (P 0149 – 0150). Altkorn discloses , a virtual organ is represented by a mass-spring model, a finite element method, or deformable model (Paragraph 0064) including numeric values for elasticity and a spring-constant for a virtual passageway in the organ (Paragraph 0072), as a user moves a virtual object through a virtual passageway, the system detects a collision between the virtual object and the virtual passageway that causes a deformation of the virtual passageway, wherein the virtual object lodges at the junction between a first virtual passageway and a second virtual passageway because the first and second virtual passageways have different elasticities and different rigidities (Paragraph 0075). Cunningham clearly discloses single non-continuous haptic feedback profiles, and in Altkorn, a mass-spring constant is analogous to the claimed “positive slope” profile, the numeric elasticity value is analogous to the “single intensity value” profile and the junction between the first and second virtual passageways is analogous to the “non-continuous” profile. Conclusion Any inquiry concerning this communication should be directed to JOHN M HEFFINGTON at telephone number (571)270-1696. Examiner interviews are available via a variety of formats. See MPEP § 713.01. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. Any inquiry concerning this communication or earlier communications from the examiner should be directed to JOHN M HEFFINGTON whose telephone number is (571)270-1696. The examiner can normally be reached on Monday through Friday from 9:30 am to 5:30 pm Eastern. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Cesar B Paula, can be reached at telephone number 571-202-4128. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from Patent Center. Status information for published applications may be obtained from Patent Center. Status information for unpublished applications is available through Patent Center to authorized users only. Should you have questions about access to the USPTO patent electronic filing system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). Examiner interviews are available via a variety of formats. See MPEP § 713.01. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) Form at https://www.uspto.gov/InterviewPractice. /J.M.H/Examiner, Art Unit 2177 1/8/2026 /CESAR B PAULA/Supervisory Patent Examiner, Art Unit 2145
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Prosecution Timeline

Jan 31, 2018
Application Filed
Apr 01, 2019
Non-Final Rejection — §103
Aug 12, 2019
Response Filed
Nov 25, 2019
Final Rejection — §103
Mar 02, 2020
Request for Continued Examination
Mar 04, 2020
Response after Non-Final Action
Jun 21, 2020
Non-Final Rejection — §103
Oct 23, 2020
Response Filed
Jan 27, 2021
Final Rejection — §103
Apr 05, 2021
Response after Non-Final Action
May 03, 2021
Examiner Interview (Telephonic)
May 05, 2021
Response after Non-Final Action
Jun 09, 2021
Request for Continued Examination
Jun 11, 2021
Response after Non-Final Action
Nov 06, 2021
Non-Final Rejection — §103
Feb 15, 2022
Response Filed
May 01, 2022
Final Rejection — §103
Aug 01, 2022
Response after Non-Final Action
Sep 07, 2022
Response after Non-Final Action
Oct 03, 2022
Request for Continued Examination
Oct 09, 2022
Response after Non-Final Action
Mar 17, 2023
Non-Final Rejection — §103
May 08, 2023
Interview Requested
May 17, 2023
Applicant Interview (Telephonic)
Jun 09, 2023
Examiner Interview Summary
Jun 22, 2023
Response Filed
Aug 16, 2023
Final Rejection — §103
Oct 24, 2023
Response after Non-Final Action
Nov 22, 2023
Notice of Allowance
Nov 22, 2023
Response after Non-Final Action
Jan 08, 2024
Response after Non-Final Action
Feb 15, 2024
Response after Non-Final Action
May 28, 2024
Response after Non-Final Action
Jun 01, 2024
Response after Non-Final Action
Aug 07, 2024
Response after Non-Final Action
Aug 19, 2024
Response after Non-Final Action
Aug 20, 2024
Response after Non-Final Action
Aug 20, 2024
Response after Non-Final Action
Aug 12, 2025
Response after Non-Final Action
Oct 15, 2025
Request for Continued Examination
Oct 27, 2025
Response after Non-Final Action
Jan 09, 2026
Non-Final Rejection — §103 (current)

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